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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/DecartAI/ai-sdk-provider/llms.txt

Use this file to discover all available pages before exploring further.

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Model IDs

type DecartVideoModelId =
  | "lucy-pro-t2v"
  | "lucy-pro-i2v"
  | "lucy-dev-i2v"
  | "lucy-motion";
The Decart provider supports four video generation models with different capabilities.

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Available Models

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lucy-pro-t2v

Text-to-video generation model powered by Lucy Pro. Capabilities:
  • Text-to-video generation
  • Seed-based reproducibility
  • Resolution control (720p, 480p)
  • Aspect ratio control (16:9, 9:16)
Use Cases:
  • Generating videos from text descriptions
  • Creating video content without source images
import { createDecart } from '@decartai/ai-sdk-provider';
import { experimental_generateVideo } from 'ai';

const decart = createDecart();

const { video } = await experimental_generateVideo({
  model: decart.video('lucy-pro-t2v'),
  prompt: 'Waves crashing on a beach at sunset'
});

​
lucy-pro-i2v

Image-to-video generation model powered by Lucy Pro. Capabilities:
  • Image-to-video generation
  • Seed-based reproducibility
  • Resolution control (720p, 480p)
  • Aspect ratio control (16:9, 9:16)
  • Optional text prompt for guidance
Use Cases:
  • Animating static images
  • Creating videos from existing artwork
  • Adding motion to photographs
import { createDecart } from '@decartai/ai-sdk-provider';
import { experimental_generateVideo } from 'ai';
import { readFileSync } from 'fs';

const decart = createDecart();

const imageData = readFileSync('input.jpg');

const { video } = await experimental_generateVideo({
  model: decart.video('lucy-pro-i2v'),
  image: {
    type: 'binary',
    data: new Uint8Array(imageData),
    mediaType: 'image/jpeg'
  },
  prompt: 'Gentle camera pan across the scene'
});

​
lucy-dev-i2v

Development version of the image-to-video model. Capabilities:
  • Same as lucy-pro-i2v
  • May include experimental features
  • May have different performance characteristics
Use Cases:
  • Testing new features
  • Development and experimentation
import { createDecart } from '@decartai/ai-sdk-provider';
import { experimental_generateVideo } from 'ai';

const decart = createDecart();

const { video } = await experimental_generateVideo({
  model: decart.video('lucy-dev-i2v'),
  image: {
    type: 'url',
    url: 'https://example.com/image.jpg'
  }
});

​
lucy-motion

Motion-controlled video generation model. Capabilities:
  • Image-to-video with trajectory control
  • Define specific motion paths
  • Frame-by-frame motion control
  • Resolution and aspect ratio control
Use Cases:
  • Creating videos with specific camera movements
  • Precise control over motion paths
  • Complex animation sequences
Special Settings:
  • Requires trajectory parameter in providerOptions.decart
  • Trajectory defines motion across frames
import { createDecart } from '@decartai/ai-sdk-provider';
import { experimental_generateVideo } from 'ai';

const decart = createDecart();

const { video } = await experimental_generateVideo({
  model: decart.video('lucy-motion'),
  image: {
    type: 'url',
    url: 'https://example.com/image.jpg'
  },
  providerOptions: {
    decart: {
      trajectory: [
        { frame: 0, x: 0.5, y: 0.5 },
        { frame: 15, x: 0.6, y: 0.4 },
        { frame: 30, x: 0.7, y: 0.5 }
      ]
    }
  }
});

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Model Specifications

​
specificationVersion
string
default:"v3"
All Decart video models implement the AI SDK v3 experimental specification.
​
maxVideosPerCall
number
default:"1"
Each generation call produces exactly one video.
​
provider
string
default:"decart.video"
Provider identifier for the video models.

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Comparison Matrix

Featurelucy-pro-t2vlucy-pro-i2vlucy-dev-i2vlucy-motion
Text-to-video✓———
Image-to-video—✓✓✓
Trajectory control———✓
Resolution control✓✓✓✓
Aspect ratio control✓✓✓✓
Seed support✓✓✓✓

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Generation Process

All video models use an asynchronous job-based generation process:
  1. Job Submission - Request is submitted and returns a job ID
  2. Polling - Status is polled until completion
  3. Download - Video content is downloaded when ready
The polling behavior can be customized using provider options: 
const { video } = await experimental_generateVideo({
  model: decart.video('lucy-pro-t2v'),
  prompt: 'A video',
  providerOptions: {
    decart: {
      pollIntervalMs: 2000,  // Poll every 2 seconds
      pollTimeoutMs: 600000  // Timeout after 10 minutes
    }
  }
});

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Response Format

All video models return the same response structure: 
{
  videos: [{
    type: 'binary',
    data: Uint8Array,
    mediaType: 'video/mp4'
  }],
  warnings: Array<{
    type: 'unsupported',
    feature: string,
    details?: string
  }>,
  response: {
    timestamp: Date,
    modelId: string,
    headers: Record<string, string>
  }
}

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